Data Scientist

Job Description

Who Are We:

Brady Corporation is an international manufacturer and marketer of complete solutions that identify and protect people, products and places. Brady's products help customers increase safety, security, productivity and performance and include high-performance labels, signs, safety devices, printing systems and software. Founded in 1914, the Company has a diverse customer base in electronics, telecommunications, manufacturing, electrical, construction, medical, aerospace and a variety of other industries. Brady is headquartered in Milwaukee, Wisconsin and as of July 31, 2022, employed approximately 5,700 people in its worldwide businesses. Brady's fiscal 2022 sales were approximately $1.30 billion. Brady stock trades on the New York Stock Exchange under the symbol BRC. More information is available on the Internet at www.bradyid.com.

Brady offers a hybrid work option that allows for both personal flexibility and in person collaboration to deliver the greatest outcomes for our people and customers. This option is a mix of in the office and one offsite day which is pre-determined based on role and function.

Position Reports To: Director of Business Intelligence

Position Summary: A key member of the Business Intelligence team, this person will design and tune the AI/stat models to meet the business needs.

What You'll Be Doing:

• Understand the business need including nuances of the products, sales channels, business cycles, and levers like promotions, advertising, etc.
• Ensure completeness, accuracy, and quality of data received.
• Identify anomalies in the data and resolve the anomalies partnering with business.
• ETL and develop scalable machine learning pipelines.
• Design, configure and tune the AI product model to generate the necessary model outputs.
• Evaluate the accuracy of the model outputs and analyze the output to identify issues in the model.
• Create and present reports showing model performance, and have an engaging conversation with business stakeholders.
• Analyze and resolve any ongoing issues with model performance.

What You'll Need To Be Successful:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics, or other related fields
• 3+ years of Data Science experience working in applied machine learning.
• 2+ years of hands-on experience in python, and SQL.
• Be able to use data visualization / BI tools, such as Tableau, Power BI, or Qlik.
• Skilled in developing and deploying machine learning models and solutions, analytical problem-solving, pattern recognition, and predictive modeling
• Understanding of data structures, data modeling, and software architecture. The experience of working on cloud infrastructures will be helpful.
• Expertise in evaluating model output and identifying model improvement opportunities.
• Excellent problem-solving skills and natural ability to think analytically.
• Strong communication skills.
• Strong work ethic and passion for learning and contributing to the development
• Collaborative mindset. Able to collaborate closely and effectively with teams

Desired Knowledge, Skills Abilities

• Master's degree, MBA or Ph.D. degree is a plus.
• Data Engineering experience is a big plus.
• Good understanding manufacturing planning process. Understanding of manufacturing data model is a plus.
• 1+ years of hands-on experience in AWS, Azure, or Google Bigquery.

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